Model parameterizations in the time domain multi parameter acoustic least squares reverse time migration

Zhang, Wei; Gao, Jinghuai

doi:10.1007/s11600-021-00540-6

Artykuł - szczegóły

Tytuł artykułu

Model parameterizations in the time domain multi parameter acoustic least squares reverse time migration

Autorzy

Zhang Wei , Gao Jinghuai

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00540-6

Warianty tytułu

Języki publikacji

Abstrakty

Acoustic least-squares reverse time migration (LSRTM) can retrieve the improved refection images. However, the most existing acoustic LSRTM approaches generally ignore the density variation of the subsurface. The multi-parameter acoustic LSRTM approach in the presence of a density parameter can overcome this weakness. However, diferent model parameterizations in such an acoustic LSRTM approach can lead to diferent migration artifacts and infuence the rate of convergence. In this paper, we mainly investigate and analyze the refectivity images of diferent model parameterizations in the multi-parameter acoustic LSRTM approach, in which the velocity–density parameterization can provide reliable refection images. According to Green’s representation theory, we derive the gradients of the objective function with regard to the multi-parameter refectivity images in detail, in which both the migration image of density in the velocity–density model parameterization and the migration image of impedance in the impedance–velocity model parameterization are free from the low-frequency artifacts. Through numerical examples using the layered and fault models, we have proved that the multiparameter acoustic LSRTM approach with the velocity–density model parameterization can provide the migration images with higher resolution and improved amplitudes. Meanwhile, a correlation-based objective function is less sensitive to amplitude errors than the conventional waveform-matching objective function in the multi-parameter acoustic LSRTM approach.

Słowa kluczowe

model parameterization multi-parameter inversion representation theory least squares reverse time migration

parametryzacja modelu inwersja wieloparametrowa teoria reprezentacji

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 2

Strony

441--458

Opis fizyczny

Bibliogr. 39 poz.

Twórcy

autor

Zhang Wei

School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
National Engineering Laboratory for Ofshore Oil Exploration, Xi’an Jiaotong University, Xi’an 710049, China

https://orcid.org/0000-0002-6461-3522

autor

Gao Jinghuai

jhgao@xjtu.edu.cn

School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
National Engineering Laboratory for Ofshore Oil Exploration, Xi’an Jiaotong University, Xi’an 710049, China

Bibliografia

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Bibliografia

Identyfikator YADDA

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